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5/ Not only is it (much) faster to do it this way, but I've suspected it could lead to a better outcome because of less "blind leading the blind" going on and more productive training. You're benefiting from the strengths of both more straightforward training and GANs.
6/ I think I may be able to demonstrate that with DeOldify soon, but that's what they're reporting for ESRGAN. Exciting!
7/ I mentioned this is in the fastai course coming up but I want to make sure to credit is given where it's due. @jeremyphoward with the idea of actually using a simpler loss (mse, etc) for pretraining the generator, and doing binary classification for pretraining the critic.
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